Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Strategic Sourcing team is part of Airbnb’s Global Procurement organization and plays a key role in enabling Airbnb to operate efficiently and scale sustainably. We partner closely with internal stakeholders to design and deliver sourcing strategies that align with Airbnb’s business priorities while driving innovation, value, and stakeholder success. We are a collaborative, forward-thinking team that embraces an AI-first mindset — leveraging technology, automation, and data to simplify processes and unlock new efficiencies. Guided by Airbnb’s mission to create a world where anyone can belong, we focus on delivering value through curiosity, creativity, and integrity. Key cross-functional partners: Finance, Legal, Business Operations. The Difference You Will Make: As the Sourcing Manager supporting Engineering and Infrastructure, you will partner directly with engineering leaders to shape how Airbnb sources and manages critical technology capabilities. This role sits at the center of major technical investments, from infrastructure platforms to emerging AI technologies. You will design sourcing strategies that balance cost efficiency, engineering velocity, and long-term scalability. You will also play a key role in advancing how sourcing integrates AI and automation into its workflows. Rather than simply executing procurement processes, you will help modernize them by improving how market intelligence, supplier comparisons, and negotiation insights are generated and used in decision-making. Success in this role means helping engineering teams make faster, better technology d
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Strategic Insights And Analytics Director Jobs
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. This is a hybrid (3 days in office) role in Menlo Park or Dublin offices in California Our Data Analytics and AI org (DAA) is expanding our Customer Experience Analytics team and seeking a Senior Analyst to help shape how Snowflake measures and improves the post-sale customer experience. In this role, you'll combine rigorous quantitative analysis with a strong AI toolkit to unlock insights from rich support and services delivery data - driving decisions that span product strategy, operational efficiency, and customer outcomes. Reporting to the Manager of Customer Experience Analytics, you'll partner closely with Support and Services Delivery leadership, own analytical programs end-to-end, and build scalable tools that embed your work directly into stakeholder workflows In This Role You Will Be a Trusted Analytics Partner to CXE Leadership: Work closely with Support and Services Delivery leaders to provide the data and insights that drive operational decisions Deliver Insights That Drive Action: Conduct deep-dive analyses on support case drivers, resolution patterns, customer satisfaction trends, and operational efficiency that CXE leadership can act on immediately. Connect the Dots Across Teams: Partner with Support Engineering, Services Delivery, Operations, and Finance to
Overview The Insights team delivers high-quality research, market intelligence, and data-driven analysis to support clients’ strategic and investment decisions. Working across industries-including healthcare and medtech-the team combines primary and secondary research with deep analytical capabilities to generate actionable insights. Team members collaborate closely with global stakeholders to translate complex information into clear, impactful outputs. The Project Manager – Insights is responsible for overseeing the end-to-end delivery of research projects, ensuring timelines, quality standards, and client expectations are consistently met. This role coordinates across internal teams and stakeholders to manage multiple concurrent projects, streamline workflows, and drive execution. The ideal candidate combines strong organizational and communication skills with an ability to translate complex project requirements into efficient delivery. This is a hybrid position out of our Mumbai OR Pune office What You’ll Do : Manage end-to-end delivery of research and insights projects, ensuring timelines and quality standards are met Coordinate across analysts, researchers, and stakeholders to execute project plans Define project scope, objectives, and deliverables in collaboration with internal teams and clients Track project progress, manage risks, and proactively address bottlenecks Oversee preparation and delivery of client-ready reports, presentations, and outputs Ensure consistency, accuracy, and quality of insights and deliverables Optimize workflows, processes, and tools to improve efficiency and scalability Support resource allocation and prioritize workload across multiple concurrent projects Maintain clear and consistent communication with stakeholders on timelines and outcomes What You Have : Bachelor’s degree from an accredited college/university (e.g., Business, Economics, Life Sciences, or related field) +4 years of experience in project management, consulting, r
PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is seeking a Senior Analyst, Marketing Analytics to join our talented, customer-focused team! You will correlate goals to key performance indicators (KPIs), ensure tracking is set up to report and analyze, set up automated Tableau dashboards, run experimentation and a/b tests, and provide collaborative insights to internal stakeholders for performance reporting and optimization. You will focus on identifying and mapping KPIs on the product-led growth funnel and sales assist funnel in a SaaS environment. Additionally, you will work with key stakeholder groups on the web and growth teams (digital marketing focused) on KPI and goal mapping enablement, data-driven recommendations on testing & personalization strategies, implement web analytics tracking and tests, advise on CDP tracking, create performance reporting dashboards, and deliver insights. You speak the language of marketers as well as data engineers, translating business questions into technical requirements. You provide simple, easy-to-digest reports and insights that will help our global marketing team drive
Role Overview We are looking for a senior Sales Planning & Distribution Strategy leader to drive data-led planning and distribution strategy for a large-scale field sales organisation. The role will focus on network planning, manpower optimisation, territory design, productivity improvement and capability building. Key Responsbilities • Lead Sales Planning and Distribution Strategy for a large field organisation. • Develop manpower and network plans based on business potential, productivity and market requirements. • Design and optimise territories, locations and field-force deployment. • Use business data and analytics to identify productivity gaps and improve sales output. • Develop frameworks for workforce planning, capacity planning and productivity management. • Build and strengthen sales capabilities, processes and planning mechanisms. • Work closely with business, sales and analytics teams to drive data-backed decisions. • Identify opportunities to improve the utilisation of the existing distribution network and merchant relationships across multiple products. • Build scalable planning models that can support future business growth. • Lead and mentor a small team of 1–2 data/analytics resources supporting planning and execution. WHAT WE ARE LOOKING FOR • 10+ years of overall experience, preferably in Sales Strategy, Distribution Strategy, Sales Planning, Network Planning or Sales Transformation. • Experience working with large-scale field sales or distribution teams. • Strong understanding of manpower planning, territory planning and distribution/network optimisation. • Strong analytical and problem-solving skills with the ability to work with business data and translate insights into actionable plans. • Experience designing planning frameworks and processes rather than only executing existing plans. • Strong stakeholder management and communication skills. • Demonstrated experience in capability building and improving sales productivity. • Experience in
GTM Operations & Strategy at MongoDB is a global team of builders and innovators focused on unleashing MongoDB’s sales greatness by pairing world‑class analytics with scalable operations. Within GTM Operations, the GTM Intelligence – Applied Science team turns complex GTM data into tools, models, and insights that help our sales organization make better, faster decisions across our people, segmentation, territory design, forecasting, and account prioritization. As a Senior Analyst on the Applied Science team, you will own high‑impact analytical workstreams end‑to‑end: from problem framing with senior GTM stakeholders, to data engineering and model design, through to productionalized workflows, dashboards, and executive‑ready narratives that drive concrete changes in the field. This role is based in Dublin, Ireland and supports a global stakeholder set across regions and GTM functions. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You’ll Do Translate GTM questions into analytical projects Partner with GTM Ops, Sales Strategy & Planning, Sales Leadership, and Central Analytics to scope problems, define success criteria, and prioritize work across areas like segmentation, territory design, account prioritization, and pipeline/forecast health. Structure ambiguous questions into hypotheses, analytical plans, and clear recommendations for senior stakeholders (SVPs, RVPs, functional leaders). Design and build scalable analytics & models Develop and maintain statistical and machine learning models (e.g., NARR prediction, deal qualification, account momentum, workload identification) that inform forecast expectations, territory assignments, and deal prioritization. Engineer robust data pipelines and features (SQL/Python) on top of our GTM data stack (Salesforce, product usage, call transcripts, marketing signals, etc.) in partnership with data and platform teams. Own core GTM analytics assets Contribute t
About Us Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases.aytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the role: Evangelize and demonstrate the value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. The Credit Risk Analyst will be responsible for monitoring , analysing and optimising lending portfolios across consumer / merchant lending products. This includes overseeing portfolio health , developing / refining risk strategies and supporting business growth through risk adjusted decision making. Key Responsibilities : - Portfolio Monitoring & Analytics - Risk Strategy & Policy Design - Stress Testing & Risk Containment - Loss forecasting & scenario planning - Product & Growth Partnership - Collections Interface / Strategy - Compliance & Bureau Management Requirements: - 5 to 8 yrs in portfolio risk management function in Fintech/ Banks/ NBFC - Hands on experience in SQL, Python, R, Pyspark - Good understanding of Bureau data, Alternate Data, Scorecards, Digital Lending API's etc - Ability to translate data into clear insights and recommendations - Familiarity with BI tools like Tableau, Looker , Metabase etc - Understanding of machine learning models in credit risk - Strong problem solving and stakeholder management skills
About Us Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases.aytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the role: Evangelize and demonstrate the value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. The Credit Risk Analyst will be responsible for monitoring , analysing and optimising lending portfolios across consumer / merchant lending products. This includes overseeing portfolio health , developing / refining risk strategies and supporting business growth through risk adjusted decision making. Key Responsibilities : - Portfolio Monitoring & Analytics - Risk Strategy & Policy Design - Stress Testing & Risk Containment - Loss forecasting & scenario planning - Product & Growth Partnership - Collections Interface / Strategy - Compliance & Bureau Management Requirements: - 5 to 8 yrs in portfolio risk management function in Fintech/ Banks/ NBFC - Hands on experience in SQL, Python, R, Pyspark - Good understanding of Bureau data, Alternate Data, Scorecards, Digital Lending API's etc - Ability to translate data into clear insights and recommendations - Familiarity with BI tools like Tableau, Looker , Metabase etc - Understanding of machine learning models in credit risk - Strong problem solving and stakeholder management skills
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Data Platform team at Figma builds and operates the foundational systems that power analytics, AI/ML, and data-driven decision-making across the company. We serve a diverse set of stakeholders, including AI researchers, machine learning engineers, data scientists, product engineers, and business teams that rely on data for insights and strategy. Our team owns and scales critical platforms such as the Snowflake data warehouse, ML Datalake, orchestration and pipeline infrastructure, and large-scale data ingestion and processing systems, managing all data flowing into and out of these platforms. Despite being a small team, we take on high-scale, high-impact challenges. In the coming years, we're focused on building the data infrastructure layer for Figma's AI-powered products, driving cost and performance optimizations across our data stack, scaling our ingestion and reverse ETL capabilities for new product use cases, and strengthening data quality, reliability, and compliance at every layer. If you're passionate about building scalable, high-performance data platforms that empower teams across Figma, we'd love to hear from you! This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence across Figma. Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company. Manage and evo
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment. You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products. Responsibilities: Lead and grow a high-performing team of data scientists and analysts with diverse backgrounds Define and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experience Provide strong technical guidance and coaching to the team on complex data science problems Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and action Lead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product health Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies Mentor and guide the professional and technical development of your team members; help develop the
About Us: About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the role: We're looking for a Business Finance Manager for our central business finance team. You'll be a key part of our success by: - Analyzing financial performance to find areas for improvement and growth opportunities. -Working closely with business and finance teams to understand the factors that influence results. -Providing data-driven insights to the Business Heads and Finance leadership to support effective decision-making. -Monitoring progress towards goals and proactively addressing potential risks. Expectations/ Requirements: What You'll Do: - Collaborate closely with Business, participating actively in their strategic planning. - Develop detailed financial plans, using a bottom-up approach to ensure accuracy and buy-in. - Regularly analyze actual results against the plan, identify the reasons for any variances, and clearly communicate your findings to facilitate informed decision-making. - Track and report on key financial and business metrics - Contribute to the unit's goal-setting process and create a detailed annual operating plan to achieve those goals. - Ensure the accuracy and completeness of month-end financial reports, including reviews, procedures, and necessary corrections. - Contribute to the improvement of financial processes, including revenue cycle activities, to optimize efficiency and effectiveness. - Analyze the financial impact of potential new products or business initiatives and present your findings to senior management. - Respond promptly to requests for information and problem-solving, providing thorough analysis and insights to support decision-making.
About the Team The Dasher Growth Marketing team is focused on building and nurturing our Dasher base by building a relationship with our couriers and providing them with an engaging and relevant cross-channel experience. The Dasher Growth Marketing team at DoorDash is growing rapidly, and as our Mexico City Media Ops pod matures, we're adding a dedicated Associate Manager to own the quality, consistency, and coordination of our day-to-day acquisition engine. About the Role We're looking for a talented and driven Associate Manager to lead quality, coordination, and stakeholder management for our Dasher paid acquisition program across the U.S., Canada, Australia, and New Zealand. You'll review and sign off on the team's campaign builds, audits, QA, testing, and reporting, while staying hands-on enough to jump into channel and media management yourself whenever a channel or media owner needs support, coverage, or a second set of eyes. You'll also be one of the main points of contact for our publisher and vendor partners (Meta, TikTok, Snapchat, Google, Reddit) and drive cross-functional alignment across media, creative, and analytics teams. You'll partner closely with the Media Ops and Creative Strategy Senior Associates to prioritize their work, ensure consistent quality across campaigns and reporting, and translate performance and creative insights into a clear, prioritized backlog. You'll also collaborate with Associate Managers across other lines of business to share learnings, align on best practices, and keep our approach to media ops consistent across teams. You'll also be involved in budget allocation and media strategy, in partnership with the Manager, Dasher Performance Marketing and the broader Dasher Paid Media team. Based in Mexico City (CDMX), you'll be part of the founding leadership layer of our local office. You will report directly to our Manager, Dasher Performance Marketing (CDMX). You're excited about this opportunity because you will… Own quality
Squarespace’s Channel Partner team drives growth through a network of creative professionals and agencies who use our platform to create online presences for their clients. We execute on our mission through our world-class partner program, Squarespace Circle, and by providing products and experiences that support, empower, and complement our 100,000 partner community. As our program and community expand, we’re looking for an Operations Lead to join the team to oversee both day to day partner program operations and the management of several key workstreams. You will work hybrid in our NYC Headquarters office and report to the Senior Team Lead, Channel Partner Program. You’ll Get To… Drive the strategy and evolution of revenue-driving partner program benefits (partner referral and subscription referral). Manage the end-to-end operations of referral programs, including designing efficient triage processes for escalated issues and systematically implementing program updates. Optimize the Squarespace Marketplace operations, focused on reducing friction and increasing success metrics across the Expert onboarding, management, and engagement lifecycle. Lead the identification and implementation of scalable process improvements, leveraging AI solutions to close operational gaps and boost team capacity Synthesize trends from surveys, forums, and feature request boards in collaboration with colleagues to accelerate the creation of actionable content and business insights Oversee community feedback operations, including the execution and analysis of the quarterly feedback survey, translating quantitative and qualitative data into strategic recommendations Communicate strategic, high-elevation read-outs to diverse cross-functional leadership, ensuring community input is a catalyst for the evolution of the Circle program and broader product/platform experience Conceptualize and launch new programs, benefits, or initiatives that result in measurable increases in member engagement,
Squarespace’s Channel Partner team drives growth through a network of creative professionals and agencies who use our platform to create online presences for their clients. We execute on our mission through our world-class partner program, Squarespace Circle, and by providing products and experiences that support, empower, and complement our 100,000 partner community. As our program and community expand, we’re looking for an Operations Lead to join the team to oversee both day to day partner program operations and the management of several key workstreams. You will work hybrid in our NYC Headquarters office and report to the Senior Team Lead, Channel Partner Program. You’ll Get To… Drive the strategy and evolution of revenue-driving partner program benefits (partner referral and subscription referral). Manage the end-to-end operations of referral programs, including designing efficient triage processes for escalated issues and systematically implementing program updates. Optimize the Squarespace Marketplace operations, focused on reducing friction and increasing success metrics across the Expert onboarding, management, and engagement lifecycle. Lead the identification and implementation of scalable process improvements, leveraging AI solutions to close operational gaps and boost team capacity Synthesize trends from surveys, forums, and feature request boards in collaboration with colleagues to accelerate the creation of actionable content and business insights Oversee community feedback operations, including the execution and analysis of the quarterly feedback survey, translating quantitative and qualitative data into strategic recommendations Communicate strategic, high-elevation read-outs to diverse cross-functional leadership, ensuring community input is a catalyst for the evolution of the Circle program and broader product/platform experience Conceptualize and launch new programs, benefits, or initiatives that result in measurable increases in member engagement,
About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Tax team is a vital part of OpenAI, ensuring compliance with tax laws and regulations while optimizing the company's tax position. We work closely with various departments to provide tax insights and strategies that support the company's growth and financial objectives. About the Role We're hiring a Senior Manager, International Indirect Tax Compliance to own and continuously improve our end-to-end international indirect tax compliance process. This role will be responsible for driving timely, accurate compliance; maintaining audit readiness; and building scalable processes that improve visibility, control, and efficiency across the Tax function. You will oversee obligations across VAT, GST, DST, and other indirect tax regimes as OpenAI continues to expand globally. You will partner closely with colleagues across Finance and external service providers to ensure that tax compliance is well-controlled, well-documented, and supported by reliable data and processes. The ideal candidate brings deep international indirect tax compliance experience, strong judgment, and a genuine passion for leveraging technology to streamline and improve compliance operations. A strong interest in automation, analytics, and process improvement will be important for success in this role. This role is based in Dublin, Ireland. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own OpenAI’s global indirect tax compliance operating model and end-to-end compliance lifecycle across VAT, GST, DST, and related regimes, ensuring timely, accurate, and controlled compliance across an expanding portfolio of jurisdictions. Lead registration lifecycle management, including threshold monitoring, obligation assessments, new registrations, amendments, and deregistrations, with clear governance over
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